Natural Language Programming for Smart Home Scene Control
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Solution Overview
Problem
Traditional methods for programming smart home scenes require substantive coding and are not user-friendly, making it difficult for individuals to create custom programs using natural language inputs.
Innovation Solution
Implementing a system that allows users to program scenes using natural language, where compound verbal commands are parsed and mapped to control commands, enabling voice-based programming and execution of complex scenes with conditional and looping constructs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional programming methods are used for smart home scenes, then programming precision and control capability are improved, but ease of operation and accessibility deteriorate
Solution Approach 1:
The patent introduces a natural language processing intermediary layer between the user and the smart home control system. Users speak natural language commands which are processed through NLP to generate structured control commands, bridging the gap between simple user interaction and precise system control without requiring users to learn programming languages.
Solution Approach 2:
The patent replaces the mechanical interaction model (typing code, clicking buttons, navigating menus) with a voice-based natural language interface. This substitution allows users to program smart home scenes using conversational language instead of formal programming syntax, dramatically improving accessibility while maintaining control precision through automated command generation.
2Ease of operation
If natural language programming is implemented, then ease of operation and accessibility are improved, but device complexity and processing requirements worsen
Solution Approach 1:
The patent segments the natural language processing task into distinct modular components: speech recognition module, natural language interpretation module, command generation module, and scene execution module. Each module handles a specific aspect of the processing chain, making the overall complex system manageable through functional decomposition and allowing independent optimization of each component.
3Ease of operation
If natural language processing is added, then ease of operation is improved, but loss of time in processing and system response worsens
Solution Approach 1:
The patent implements preliminary action by pre-processing and caching commonly used scene configurations, device groupings, and control patterns. When a user issues a natural language command, the system can quickly retrieve pre-defined templates and apply them, significantly reducing processing time compared to generating commands from scratch for every interaction.
Data Source
AI summary
Audio content associated with a received verbal utterance is received. An operational meaning of the received verbal utterance comprising a compound input is recognized and determined at least in part by: determining that a first subset of the received verbal utterance is associated with a first recognized input; determining that a second subset of the received verbal utterance is associated with a second recognized input; and storing data that associates with a scene identifier a set of commands that includes a first command associated with the first recognized input and a second command associated with the second recognized input.